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<h1>c
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<h2><a name="_name"></a>PURPOSE <a href="#_top"><img alt="^" border="0" src="../up.png"></a></h2>
<div class="box"><strong>clc</strong></div>

<h2><a name="_synopsis"></a>SYNOPSIS <a href="#_top"><img alt="^" border="0" src="../up.png"></a></h2>
<div class="box"><strong>This is a script file. </strong></div>

<h2><a name="_description"></a>DESCRIPTION <a href="#_top"><img alt="^" border="0" src="../up.png"></a></h2>
<div class="fragment"><pre class="comment"> clc

 DATESTAMP
   29-Sep-2005  2:00pm</pre></div>

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<h2><a name="_cross"></a>CROSS-REFERENCE INFORMATION <a href="#_top"><img alt="^" border="0" src="../up.png"></a></h2>
This function calls:
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This function is called by:
<ul style="list-style-image:url(../matlabicon.gif)">
<li><a href="../classify/clf_dectree_train.html" class="code" title="function clf = clf_dectree_train( clf, X, Y )">clf_dectree_train</a>	Train a decision tree classifier.</li><li><a href="../classify/democluster.html" class="code" title="function [IDX, X, k_true, noisefrac_true, IDX_true ] =democluster( X, k, noisefrac, IDX_true )">democluster</a>	Clustering demo.</li><li><a href="../classify/demogendata.html" class="code" title="function [X,IDX,T,IDT] = demogendata(n,m,k,d,c,e,f)">demogendata</a>	Generate data drawn form a mixture of Gaussians.</li><li><a href="../classify/meanshiftim.html" class="code" title="function [M,Vr,Vc] = meanshiftim( X, sig_spt, sig_rng, softflag, maxiter, mindelta )">meanshiftim</a>	Applies the meanshift algorithm to a joint spatial/range image.</li><li><a href="../classify/meanshiftim_explore.html" class="code" title="function meanshiftim_explore( I, X, sig_spt, sig_rng, show )">meanshiftim_explore</a>	Visualization to help choose sigmas for meanshiftim.</li><li><a href="../classify/visualize_data.html" class="code" title="function visualize_data( X, k, IDX, types )">visualize_data</a>	Project high dim. data unto principal components (PCA) for visualization.</li><li><a href="../filters/FB_reconstruct_2D.html" class="code" title="function I2 = FB_reconstruct_2D( I, FB )">FB_reconstruct_2D</a>	Use to see how much image information is preserved in filter outputs.</li><li><a href="../filters/filter_DOG_2D.html" class="code" title="function G = filter_DOG_2D( r, sig, order, show )">filter_DOG_2D</a>	Difference of Gaussian (Dog) Filter.</li><li><a href="../images/convn_fast.html" class="code" title="function C = convn_fast( A, B, shape )">convn_fast</a>	Fast convolution, replacement for both conv2 and convn.</li><li><a href="../images/makemoviesets.html" class="code" title="function M = makemoviesets( IS, montagesparams )">makemoviesets</a>	[5D] Used to convert S sets of R videos into a movie.</li><li><a href="../images/mask_gaussians.html" class="code" title="function [masks,keeplocs] = mask_gaussians( siz, M, windowwidth, offset, show )">mask_gaussians</a>	Divides a volume into softly overlapping gaussian windows.</li><li><a href="../images/optflow_corr.html" class="code" title="function [Vx,Vy,reliab] = optflow_corr( I1, I2, patch_r, search_r, sigma, thr, show )">optflow_corr</a>	Calculate optical flow using cross-correlation.</li></ul>
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